Cosmos DB for MongoDB Developers

Chapter 1: Why NoSQL? Chapter Goal: To set the context for the NoSQL No of pages: 5 - 8 Sub -Topics Existence of NoSQL databases Types of NoSQL databases & their usage Expectation from NoSQL databases Future of NoSQL on cloud Chapter 2: CosmosDB overview Chapter Goal: Provide overview of CosmosDB No of pages : 20 - 25 Sub - Topics Global distribution Multi Modal API Elastic scale Consistency Performance SLA Chapter 3: CosmosDB Multi-geo replication Chapter Goal: Help reader to provide an understanding the difference between geo replication of CosmosDB as compared to MongoDB No of pages : 10 - 15 Sub - Topics: Configuration Auto-shift Geo APIs Multi-read / single write region pattern Atomicity & Geo-replication Chapter 4: Indexing Chapter Goal: Help reader to understand indexing behavior of CosmosDB compare to MongoDB No of pages : 15 - 20 Sub - Topics: 1. Auto Indexing Custom Indexing Indexing methods Optimizations Chapter 5: Partitioning Chapter Goal: Help reader to understand partitioning behavior of CosmosDB compare to MongoDB No of pages : 15 - 20 Sub - Topics: MongoDB Partitioning Partitioning in CosmosDB Optimizations Chapter 6: Consistency No of pages : 5 - 10 Chapter Goal: Help reader to understand different consistency level and tune it with comparison to MongoDB. Consistent read/write High throughput Balancing act Chapter 7: Sizing No of pages : 5 - 10 Chapter Goal: Help reader to understand the concepts of Read Units & its calculation drived from existing MongoDB's usage. What is RU? Calculate RU Optimize RU consumption Chapter 8: Migrating to CosmosDB MongoDB API No of pages : 20 - 30 Chapter Goal: Detailing of CosmosDB MongoDB API. Migration Strategies Preparation Migration Chapter 9: CosmosDB MongoDB API - Advanced services No of pages : 20 - 30 Chapter Goal: Detailing of CosmosDB MongoDB API. Aggregation Pipeline support Spark connector TBD